Class DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder (1.7.0) 

public static final class DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder extends GeneratedMessageV3.Builder<DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder> implements DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfoOrBuilder

IntegerFieldInfo defines output for any integer type field.

Protobuf type google.cloud.dataplex.v1.DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addAllQuartiles(Iterable<? extends Long> values)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder addAllQuartiles(Iterable<? extends Long> values)

A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Parameter
Name Description
values Iterable<? extends java.lang.Long>

The quartiles to add.
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

addQuartiles(long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder addQuartiles(long value)

A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Parameter
Name Description
value long

The quartiles to add.
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

build()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo build()
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

buildPartial()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo buildPartial()
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

clear()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clear()
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

clearAverage()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearAverage()

The average of non-null values of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double average = 1;

Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

clearMax()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearMax()

The maximum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

int64 max = 5;

Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

clearMin()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearMin()

The minimum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

int64 min = 4;

Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

clearQuartiles()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearQuartiles()

A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

clearStandardDeviation()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearStandardDeviation()

The standard deviation of non-null of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double standard_deviation = 3;

Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

clone()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clone()
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

getAverage()

public double getAverage()

The average of non-null values of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double average = 1;

Returns
Type Description
double

The average.

getDefaultInstanceForType()

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo getDefaultInstanceForType()
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getMax()

public long getMax()

The maximum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

int64 max = 5;

Returns
Type Description
long

The max.

getMin()

public long getMin()

The minimum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

int64 min = 4;

Returns
Type Description
long

The min.

getQuartiles(int index)

public long getQuartiles(int index)

A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Parameter
Name Description
index int

The index of the element to return.
Returns
Type Description
long

The quartiles at the given index.

getQuartilesCount()

public int getQuartilesCount()

A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Returns
Type Description
int

The count of quartiles.

getQuartilesList()

public List<Long> getQuartilesList()

A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Returns
Type Description
List<Long>

A list containing the quartiles.

getStandardDeviation()

public double getStandardDeviation()

The standard deviation of non-null of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double standard_deviation = 3;

Returns
Type Description
double

The standardDeviation.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo other)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder mergeFrom(DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo other)
Parameter
Name Description
other DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides Exceptions
Type Description
IOException

mergeFrom(Message other)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

setAverage(double value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setAverage(double value)

The average of non-null values of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double average = 1;

Parameter
Name Description
value double

The average to set.
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

setMax(long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setMax(long value)

The maximum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

int64 max = 5;

Parameter
Name Description
value long

The max to set.
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

setMin(long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setMin(long value)

The minimum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

int64 min = 4;

Parameter
Name Description
value long

The min to set.
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

setQuartiles(int index, long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setQuartiles(int index, long value)

A quartile divide the number of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Parameters
Name Description
index int

The index to set the value at.
value long

The quartiles to set.
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides

setStandardDeviation(double value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setStandardDeviation(double value)

The standard deviation of non-null of integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double standard_deviation = 3;

Parameter
Name Description
value double

The standardDeviation to set.
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder
Overrides